Day: 5 November 2014

research data

Giving research data the credit it’s due

Guest post by Sarah H Carl (@sarahhcarl) In many ways, the currency of the scientific world is publications. Published articles are seen as proof – often by colleagues and future employers – of the quality, relevance and impact of a researcher’s work. Scientists read papers to familiarize themselves with new results and techniques, and then they cite those papers in their own publications, increasing the recognition and spread of the most useful articles. However, while there is undoubtedly a role for publishing a nicely-packaged, (hopefully) well-written interpretation of one’s work, are publications really the most valuable product that we as scientists have to offer one another? As biology moves more and more towards large-scale, high-throughput techniques – think all of the ‘omics – an increasingly large proportion of researchers’ time and effort is spent generating, processing and analyzing datasets. In genomics, large sequencing consortia like the Human Genome Project or ENCODE  were funded in part to generate public resources that could serve as roadmaps to guide future scientists. However, in smaller labs, all too often after a particular set of questions is answered, large datasets end up languishing on a dusty server somewhere. Even for projects whose express purpose is […]